Seminar Information

Increased autonomy allows autonomous underwater vehicles to act without
direct support or supervision, as well as operate in previously
unreachable environments. This comes with pitfalls of its own, however.
It requires increased complexity, and a deficit of trust may form
between operators and complex machines which require advanced
backgrounds in computing in order to fully understand their functioning.
Previous research has shown that this deficit can be reduced through
repeated experience with the system in question, with a simulation
potentially standing for expensive real systems. Furthermore, the
mission parameters provided to autonomous systems must be rigorously
tested in order to guard against the damaging or expense which could be
the result of mission failure.
Regardless of of the purpose of a mission, or whether it is performed
with real vehicles or their simulated counterparts, effective debrief
represents the most efficient method for performing an analysis of the
mission. Moving towards achieving this, we present a novel system to
maximize the effectiveness of a debrief monologue by ordering the events
which make up the mission into the most appropriate order for the
operator's understanding. This is done by employing a narrative based
structure, which has been shown to be the quickest and most effective
way of building a coherent situation model inside a person's mind.